Shujian2015/rl4nlp
A collection of papers on reinforcement learning applied to NLP
This collection helps AI researchers and machine learning engineers stay up-to-date on the latest methods for building advanced language systems. It compiles academic papers exploring how reinforcement learning techniques can be applied to tasks like generating conversational AI responses, summarizing documents, or classifying text. If you are developing cutting-edge natural language processing applications, this resource provides an organized overview of relevant research.
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Use this if you are an AI researcher or machine learning engineer looking for academic papers on applying reinforcement learning to NLP challenges like text summarization, classification, or chatbot development.
Not ideal if you are looking for ready-to-use software, code implementations, or introductory material on general reinforcement learning or NLP concepts.
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Sep 07, 2018
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